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Director, Technology – AI Engineering Transformation
AT&T
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About this role
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
We are seeking a Director, Technology – AI Engineering Transformation to lead the transformation of our software delivery organization through AI-accelerated engineering practices, modern DevOps platforms, and developer experience (DevEx) innovation. This leader will oversee cross-functional teams spanning DevOps/SRE, Developer Tooling, and Automation Engineering while driving enterprise-wide adoption of AI-assisted software development.
This highly visible role requires a blend of technical expertise, organizational leadership, and change management experience to modernize how software is built, tested, deployed, and operated across the enterprise.
What You'll Do: • Lead the strategy and execution of AI-accelerated software development and delivery across engineering teams.
• Drive adoption of AI-assisted development tools, agentic workflows, and modern engineering practices to improve developer productivity and software quality.
• Manage and develop teams responsible for DevOps, SRE, developer tooling, release engineering, and automation platforms.
• Establish governance, security controls, and best practices for AI-enabled software development.
• Own the engineering toolchain, including CI/CD, code quality, release automation, and cloud-native platform capabilities.
• Define and measure engineering effectiveness through DORA metrics, DevEx indicators, platform reliability, and operational performance.
• Partner with product, architecture, security, and business leaders to align technology investments with enterprise goals.
• Lead executive communications, business case development, and organizational change initiatives supporting engineering modernization.
What You'll Need: • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• 8+ years of progressive technology leadership experience, including leading software engineering, platform engineering, or DevOps organizations.
• 3+ years managing teams focused on SDLC automation, platform engineering, release engineering, or digital product delivery.
• Hands-on experience with cloud-native technologies, Kubernetes, and public cloud platforms (AWS, Azure, or GCP).
• Expertise implementing CI/CD pipelines, Infrastructure as Code (Terraform), and modern software delivery practices.
• Experience deploying and scaling AI-assisted development tools such as GitHub Copilot, Cursor, or similar AI coding platforms.
• Proven success leading enterprise-scale technology transformations and driving measurable improvements in delivery performance.
• Strong knowledge of platform reliability, observability, security, compliance, and operational excellence.
What You'll Bring: • Deep technical expertise in modern application architectures, DevOps, SRE, and software engineering best practices.
• Strong understanding of AI-native development workflows, automation, and engineering productivity platforms.
• Experience with developer tooling ecosystems including GitHub, Jira, SonarQube, Artifactory, Backstage, LaunchDarkly, or similar platforms.
• Exceptional communication and executive storytelling skills with the ability to translate technical strategy into business outcomes.
• Demonstrated success leading organizational change and driving adoption across large engineering organizations.
• Strong talent leadership, including hiring, coaching, and developing high-performing engineering teams.
• A data-driven approach to improving engineering velocity, platform reliability, and developer experience.
• Passion for innovation and building modern engineering organizations capable of delivering at enterprise scale.
What Succes Looks Like: • AI-assisted development becomes a core capability across engineering teams, driving measurable improvements in productivity and delivery speed.
• Engineering teams consistently deliver secure, reliable, and scalable software through modern automated delivery practices.
• Developer experience improves through streamlined tooling, reduced friction, and increased automation.
• Platform reliability, operational transparency, and delivery performance improve across the organization.
• Executive stakeholders understand and support the engineering transformation roadmap through clear business value and measurable outcomes.


Our Director Technologist jobs earn between $210,600.00 - $316,000.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
 Joining our team comes with amazing perks and benefits:
• Medical/Dental/Vision coverage • 401(k) plan • Tuition reimbursement program • Paid Parental Leave • Paid Caregiver Leave • Additional sick leave beyond what state and local law require may be available but is unprotected • Adoption Reimbursement • Disability Benefits (short term and long term) • Life and Accidental Death Insurance • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal • Employee Assistance Programs (EAP) • Extensive employee wellness programs • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone • Long Term Grants and Deferred Compensation • Paid Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays
Weekly Hours: 40 Time Type: Regular Location: USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St Salary Range: $210,600.00 - $316,000.00 AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of
Salary insight
The midpoint of this range ($263k) is about 99% above the median disclosed salary for Dallas roles listed on ForgeApply ($133k across 893 jobs).
See full Machine Learning Engineer salary data for Dallas →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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